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  1. George, Holly A. BSN, RN
  2. Davis, Shelly L. BSN, RN
  3. Mitchell, Cynthia F. BSN, RN
  4. Moyer, Naomi M. MSN, APRN
  5. Toner, Claire G. BS, RN


Health care facilities are challenged with an ever-increasing demand for producing accurate quality data to be used for guiding internal improvement initiatives as well as for reimbursement. It is essential that data abstraction be reliable and valid. In this article, we describe an interrater reliability process of data abstraction using the Centers for Medicare and Medicaid Services core measures that successfully reduced variability between abstractors and produced higher quality data.